On phase in scaled graphs

The scaled graph has been introduced recently as a nonlinear extension of the classical Nyquist plot for linear time-invariant systems. In this paper, we introduce a modified definition for the scaled graph, termed the signed scaled graph (SSG), in which the phase component is characterized by making use of the Hilbert transform. Whereas the original definition of the scaled graph uses unsigned phase angles, the new definition has signed phase angles which ensures the possibility to differentiate between phase-lead and phase-lag properties in a system. Making such distinction is important from both an analysis and a synthesis perspective, and helps in providing tighter stability estimates of feedback interconnections. We show how the proposed SSG leads to intuitive characterizations of positive real and negative imaginary nonlinear systems, and present various interconnection results. We showcase the effectiveness of our results through a motivating example.

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Publication Details

Published
2025-12-09
DOI
https://doi.org/10.1109/cdc57313.2025.11312812
Citations
1
Primary Topic
Control and Stability of Dynamical Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

On phase in scaled graphs

Alexander Lanzon, Sebastiaan van den Eijnden, K. J. A. Scheres, Thomas Chaffey et al.
1 citations
Control and Stability of Dynamical Systems
1.21
article

On phase in scaled graphs

Alexander Lanzon, Sebastiaan van den Eijnden, K. J. A. Scheres, Thomas Chaffey, Chao Chen
article en
1 citations

Abstract

The scaled graph has been introduced recently as a nonlinear extension of the classical Nyquist plot for linear time-invariant systems. In this paper, we introduce a modified definition for the scaled graph, termed the signed scaled graph (SSG), in which the phase component is characterized by making use of the Hilbert transform. Whereas the original definition of the scaled graph uses unsigned phase angles, the new definition has signed phase angles which ensures the possibility to differentiate between phase-lead and phase-lag properties in a system. Making such distinction is important from both an analysis and a synthesis perspective, and helps in providing tighter stability estimates of feedback interconnections. We show how the proposed SSG leads to intuitive characterizations of positive real and negative imaginary nonlinear systems, and present various interconnection results. We showcase the effectiveness of our results through a motivating example.

The University of Sydney (AU), University of Manchester (GB), Eindhoven University of Technology (NL), KU Leuven (BE)
Openalex Percentile: Top 14%
Control and Stability of Dynamical Systems
1.21
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